Obviously, the mutual information between X and Y is not dependent on the probability distribution function f_X\left( x \right) . Finally, the information capacity of this channel is: C=\max_{f_X\left( x \right)} I\left( X;Y \right)=\max_{f_X\left( x \right)}\frac{1}{2}...
[Network Information Theory Exercise 0.1]: Fundamental of Information Theory zdr0 数学话题下的优秀答主 15 人赞同了该文章 目录 收起 Problem 1: Properties of the Binary Entropy Function Solution for Problem 1 Problem 2: Joint Entropy of Discrete Random Variables Solution for Problem 2 ...
Network Information Theory 电子书 读后感 评分☆☆☆ 条理特别清楚,定义明确,符号清晰,数学证明严谨,……等等。 最重要的是它自成体系,一以贯之。几乎里面所有的定理都是根据前面基础的定理来证明的。具体说来,三个基本定理:average typicality lemma,conditional typicality lemma和joint typicality lemma。加上两个...
探讨离散无记忆广播信道（DM-BC）的物理退化性，我们考虑一个具有两个接收器的DM-BC。传输和接收符号分别由随机变量X和Y表示，其字母表为A。广播通道描述概率函数P由以下公式给出：P(y|x)其中y和x属于A。为了证明这是一个物理退化的广播通道，我们分析该通道是否满足Markov链条件。一个DM-BC被认为...
L13 Network Information Theory 信息论基础信息论基础信息论基础信息论基础 金金明录教授 1212--1313学年学年 第二学期第二学期 DUT 信息论基础 金明录教授 教学内容 Introduction and Preview EntropyEntropy, RelativeRelative EntropyEntropy, andand MutualMutual InformationInformation Asymptotic ...
A Theory of Network Equivalence, Parts I and II A family of equivalence tools for bounding network capacities is introduced. Part I treats networks of point-to-point channels. The main result is roughly ... R Koetter,M Effros,M Medard - 《Information Theory IEEE Transactions on》 被引量: ...
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These are the issues that are the domain of network information theory. The general problem is easy to state. Given many senders and receivers and a channel transition matrix which describes the effects of the interference and the noise in the network, decide whether or not the sources can be...
EE194–SpecialTopics: NetworkInformationTheory TuftsECE Spring2013 EE194–NetworkInformationTheory GeneralInformation InstructorMaiVu maivu@ece.tufts.edu 617-627-0835 216HalliganHall OH:TBA LecturesTR10:30-11:45amH111A CourseDescription EE19416isaspecialtopiccoursefocusingonnetworkinformationtheorywith...
[Network Information Theory Exercise 3.1]: Interference Channel (IC) and Decoding Schemes zdr0 数学话题下的优秀答主11 人赞同了该文章 目录 收起 Problem 1: Successive Cancellation Decoding vs. Simultaneous Decoding Solution for Problem 1 Problem 2: Gaussian Interference Channel and Decoding...